Cow reproduction efficiency assessment method

Abstract

The invention discloses a cow reproduction efficiency assessment method. According to the method, by taking a 21-day breeding cycle of a cow as a statistical unit, condition screening is performed on a cow herd, and a due breeding quantity, a breeding quantity, a breeding rate, a due pregnant quantity, a pregnant quantity, a pregnant rate and an aborted quantity of the cow herd meeting screening conditions in each breeding cycle and a due breeding quantity SUM, a breeding quantity SUM, a due pregnant quantity SUM, a pregnant quantity SUM, a breeding rate SUM, a pregnant rate SUM and an aborted quantity SUM of the cow herd in a plurality of breeding cycles are subjected to reverse deduction and statistics in time, so that the cow reproduction efficiency in the breeding cycle can be comprehensively judged from multiple perspectives, the cow reproduction efficiency can be comprehensively, timely and accurately assessed, a production manager is facilitated to make a timely and effective management decision, the economic loss and the resource waste due to non-timely supervision of the cow reproduction efficiency by a cow breeder are reduced, and the method is of very great guide significance on production management of cow industry.

Description

technical field [0001] The invention relates to the technical field of animal husbandry, in particular to a method for evaluating the reproductive efficiency of dairy cows. Background technique [0002] The fecundity of livestock herds, especially those producing meat and milk, greatly depends on the reproductive efficiency of the herd. Excellent reproductive performance is essential for the successful operation of any pasture. The reproductive efficiency of dairy cows is the driving factor for dairy farms. The most critical factor of production efficiency. At present, the pregnancy rate index is commonly used in the industry to evaluate the reproductive efficiency of dairy cows. However, the existing statistical methods in the industry have the following problems: [0003] 1) The fact that 21 days is a mating cycle for dairy cows is not taken into account in the statistical time period of the pregnancy rate index of dairy cows. The traditional pregnancy rate formula is "p...

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Problems solved by technology

It often takes a year or even longer to get the results of the reproductive efficiency of dairy cows using traditional statistical methods. Due to failure to consider that dairy cows will have multiple mating cycles in their statistical cycle, they did not count backward in time for each The pregnancy rate of dairy cows during the breeding cycle is summarized. The results of the reproductive efficiency of dairy cows obtained by the production manager based on the traditional statistical method of conception rate are not timely enough, and the problems in the reproductive efficiency of dairy cows cannot be found in time, which leads to managers making Management decisions are not timely enough, causing unnecessary economic losses to the ranch

[0004] 2) The existing statistical methods of conception rate do not take into account the infertility of the selected cows and the prohibition period of the cows (that is, the time period when the cows cannot mate successfully, which is generally the pregnancy of mature cows) when collecting samples. period or the sexual maturity of young and strong cattle) will lead to inaccurate statistical results

[0005] 3) The traditional method of evaluating the reproductive efficiency of dairy cows only judges the reproductive efficiency of cows through the conception rate, and does not count the number of cows that should be bred, the number of bred, the number of bred, the number of bred that should be pregnant in different breeding cycles , the number of pregnancies, the number of conceptions, the number of abortions, and the sum of several or all breeding cycles 应配种数 、SUM 配种数 、SUM 应怀孕数 、SUM 怀孕数 、SUM 配种率 、SUM 怀孕率 、SUM 流产数 , did not comprehensively evaluate the reproductive efficiency of dairy cows from multiple perspectives

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